Heuristics, justification, and defeasible reasoning

Minds and Machines 5 (4):467-487 (1995)
Heuristics can be regarded as justifying the actions and beliefs of problem-solving agents. I use an analysis of heuristics to argue that a symbiotic relationship exists between traditional epistemology and contemporary artificial intelligence. On one hand, the study of models of problem-solving agents usingquantitative heuristics, for example computer programs, can reveal insight into the understanding of human patterns of epistemic justification by evaluating these models'' performance against human problem-solving. On the other hand,qualitative heuristics embody the justifying ability of defeasible rules, the understanding of which is provided by traditional epistemology.
Keywords Heuristics  epistemology  problem-solving  justification  defeasible reasoning
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DOI 10.1007/BF00974978
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References found in this work BETA
Roderick M. Chisholm (1966). Theory of Knowledge. Englewood Cliffs, N.J.,Prentice-Hall.
John Pollock (1987). Defeasible Reasoning. Cognitive Science 11 (4):481-518.
Ray Reiter (1980). A Logic for Default Reasoning. Artificial Intelligence 13:81-137.

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